Data Migration Engineer Mid

Piper Companies; Quantico (VA); Presencial; USD 90.000 - 120.000; Jornada completa

Descripción de la vacante

Piper Companies is seeking a Mid Data Migration Engineer to support ETL-driven data migration programs for large-scale modernization efforts. The role focuses on extraction, transformation, validation, and secure cloud data movement from legacy systems, with emphasis on data quality and pipeline automation.

Responsibilities include designing ETL workflows, validating data integrity, collaborating with cross-functional teams, and maintaining migration documentation.

Formación

• Active Top Secret Security Clearance required.
• Bachelor’s degree with 4+ years in data migration/ETL are required.
• Experience with structured/unstructured data, mapping, transformation, validation, and data integrity checks.

Responsabilidades

• Data Migration & ETL: develop and operate ETL workflows for large-scale migrations.
• Data Quality & Validation: perform data integrity checks and resolve errors.
• Technical Collaboration: work with Senior Data Migration Engineers, Data Engineers, DevSecOps, QA, and cloud architects.
• Operational Support & Reporting: document migration steps and contribute to status summaries.

Conocimientos

Top Secret Clearance

Analytical skills

Attention to detail

Educación

Bachelor’s degree

Herramientas

ETL Tools

Scripting Languages

Cloud Data Pipelines (AWS)

Descripción del empleo

Data Migration Engineer Mid

Location: Huntsville, AL

Position Description:

The Mid-Level Data Migration Engineer to support data extraction, transformation, validation, and movement activities for a large-scale federal modernization program. This role works within the Migration Workstream to support ETL pipelines, data mapping, cleansing, transformation, and operational readiness for transferring high volume datasets from legacy systems into secure cloud environments. The ideal candidate has hands on experience with structured and unstructured datasets, migration tooling, data integrity checks, and cross team data operations.

Primary Responsibilities:

Data Migration & ETL Execution

• Support development and operation of ETL workflows for large scale data migration efforts.
• Execute data extraction, transformation, cleansing, normalization, and validation tasks.
• Conduct detailed data mapping from legacy systems to target schemas and environments.
• Operate within established migration pipelines and support automation improvements.

Data Quality & Validation

• Perform data integrity checks, completeness assessments, and error resolution.
• Support quality assurance activities for migrated datasets, ensuring accuracy and fidelity.
• Assist in documenting data issues, anomalies, and corrective measures.

Technical Collaboration

• Work closely with Senior Data Migration Engineers, Data Engineers, DevSecOps teams, QA engineers, and cloud architects.
• Support migration readiness by validating source/target environments and testing pipeline functionality.
• Participate in technical reviews, test cycles, and data validation checkpoints.

Operational Support & Reporting

• Maintain documentation of migration steps, ETL processes, schemas, and pipeline behaviors.
• Contribute to migration reporting, progress updates, and operational status summaries.
• Identify risks, blockers, and dependency issues impacting migration throughput.

Required qualifications to be successful in this role:

• Must have Active Top Secret Security Clearance, U.S. Citizenship
• Bachelor’s degree and 4+ years of experience supporting data migration, ETL processes, or data engineering workloads.
• Experience with structured/unstructured data, mapping, transformation, cleansing, and validation.
• Familiarity with ETL tools, scripting languages, or pipeline automation methods.
• Strong analytical skills, attention to detail, and ability to work in fast paced technical environments.

Preferred Qualifications:

• Experience with large-scale or multi system migration efforts.
• Hands on experience with cloud-based data pipelines (AWS preferred).
• Exposure to DevSecOps environments, automated testing, or CI/CD pipelines.
• Experience supporting DOJ, FBI, Intelligence Community, or national security programs.